Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).Mechanisms of Genetic VariationThe original sources of genetic variation are mutations,...
Graphs of Equations in Two Variables01:30

Graphs of Equations in Two Variables

An equation with two variables, typically written in the form y = f(x) or Ax + By = C, describes a relationship between quantities represented by x and y. Each solution to such an equation is an ordered pair (x, y) that satisfies the equation when substituted. These pairs can be represented graphically to understand the variables' relationship visually.A common technique for constructing the graph of a two-variable equation is to create a value table. Begin by choosing several values for the...
Graphs of Functions01:30

Graphs of Functions

Graphs of functions provide a visual representation of how output values change in response to varying inputs. Each point on the graph corresponds to an ordered pair, where the x-coordinate (independent variable) determines the horizontal position and the y-coordinate (dependent variable) determines the vertical position. Linear functions like y = x give a straight line, indicating a constant rate of change.Nonlinear functions display more complex behaviors. Even power functions generate...
Graphs of Polar Equations01:17

Graphs of Polar Equations

The polar coordinate system represents points using a distance from a central point (the pole) and an angle from a reference direction (the polar axis). Unlike rectangular coordinates, polar coordinates are ideal for graphing curves with radial symmetry or periodic behavior.Some general forms of graphs in polar coordinates include the following:Equation of a Circle (Centered at the Pole):A graph where the radius remains constant for all angles traces a circle centered at the pole:Equation of a...
Graphs of Two-Variable Functions01:27

Graphs of Two-Variable Functions

A weather map provides a practical example of a function of two variables. Across a wide region such as the United States, temperatures vary from one location to another. Each location can be identified by two geographic coordinates: longitude and latitude. Since a single temperature value is assigned to each coordinate pair, the situation can be represented mathematically as a function with two inputs and one output.In mathematical notation, longitude and latitude can be labeled as x and y,...
Evolutionary Processes in Microbes01:26

Evolutionary Processes in Microbes

Microbial evolution occurs rapidly due to short generation times and a variety of genetic processes, including horizontal gene transfer, mutation, recombination, and genetic drift. These mechanisms collectively enable microbes to adapt swiftly to changing environments.Horizontal gene transfer (HGT) allows genes to move between different species and occurs through three main mechanisms: conjugation, transformation, and transduction. Conjugation involves direct cell-to-cell contact for DNA...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Large language models instantiate evolutionarily robust strategies of cooperation.

PNAS nexus·2026
Same author

Age distinguishes selection from causation in cancer genomes.

Nature genetics·2026
Same author

Reply to Sacco: Complete spaces as outcomes of evolutionary optimization.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Payoff equivalence and complete strategy spaces of direct reciprocity.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Revealing the Drivers Underlying Distinct Evolutionary Trajectories in Lung Adenocarcinoma.

bioRxiv : the preprint server for biology·2026
Same author

Microbiome analysis of 940 lung cancers in never-smokers reveals lack of clinically relevant associations.

Nature communications·2025

相关实验视频

Updated: Jun 20, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

图表上的进化动态.

Erez Lieberman1, Christoph Hauert, Martin A Nowak

  • 1Program for Evolutionary Dynamics, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA. erez@erez.com

Nature
|January 22, 2005
PubMed
概括
此摘要是机器生成的。

进化图形理论模拟了网络上的种群,揭示了结构如何影响选择. 特定的图形结构可以放大或抑制选择,影响进化结果和固定概率.

更多相关视频

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

相关实验视频

Last Updated: Jun 20, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

科学领域:

  • 进化生物学 进化生物学
  • 数学生物学 数学生物学
  • 网络科学 网络科学

背景情况:

  • 传统的进化动力学研究假定同质或空间扩展的种群.
  • 概括人口结构对于理解各种进化场景至关重要.

研究的目的:

  • 通过图表表示的一般化人口结构研究进化动态.
  • 确定图形拓和边缘权重如何影响固定概率和选择结果.

主要方法:

  • 在各种图形类型 (完全连接,空间,随机,无尺度) 上,将个人作为顶点和生殖率作为加权边缘建模.
  • 在不同的进化图结构中分析突变者的固定概率.
  • 在图表上研究进化游戏理论中的依赖频率的选择.

主要成果:

  • 识别了模仿同质群体的图形结构和抑制或放大选择的图形结构.
  • 发现了可以保证有利突变物固定的图形.
  • 证明图形结构显著改变进化游戏的结果.

结论:

  • 进化图形理论提供了一个强大的框架来概括和分析进化动态.
  • 人口结构是进化轨迹和游戏结果的关键决定因素.
  • 这些发现对生态学,多细胞组织和经济学有着广泛的影响.